Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen ...

Abstract: The process simulations based on the TCAD tools can effectively conduct performance analysis and drive semiconductor process optimization, but usually time-consuming and inefficient. In this ...

Abstract: Operation optimization plays a crucial role in process control, directly influencing product quality and profitability. Reinforcement learning (RL), with its capabilities in autonomous ...

The automotive sector, which is the source of many of the world's carbon footprints, is under increasing pressure to reduce its contribution to environmental degradation. With governments and segments ...

This article introduces overall controller effectiveness (OCE) as a new, intuitive metric for evaluating PID loop performance in process industries. It tells how OCE helps process plant teams ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The goal of this work is to provide a framework for the optimal ...

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